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HASK | COLLOCATION DATABASES
Citation Please cite this paper in publications using HASK for the BNC: Pezik, Piotr. Graph-Based Analysis of Collocational Profiles. In Phraseologie Im Wörterbuch Und Korpus (Phraseology in Dictionaries and Corpora), edited by Vida Jesenšek and Peter Grzybek, 227–43. ZORA 97. Maribor, Bielsko‑Biała, Budapest, Kansas, Praha: Filozofska fakuteta, 2014.
150,045entries containing2,875,407combinations...
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Part of speech:
Collocate's part of speech:
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MI3
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were 		Verb 76 -21.94 10.68 205 0.83 42 2,056,809 26.43
2. have 've
had
has
have
having 		Verb 22 -12.96 7.01 49.77 0.76 18 11,219,940 4.84
3. get get
getting 		Verb 6 -3.21 3.96 4.53 0.53 5 13,735,664 3.96
4. will will Verb 11 -1.77 6.3 2.09 0.66 9 10,523,613 5.17
5. should should Verb 5 -0.94 4.14 0.63 0.34 3 23,115,423 2.35
6. race race
races
racing 		Verb 5 2.17 9.76 164.18 0.48 4 40,275,106 1.35
7. surmount surmount
Surmounting 		Verb 5 2.23 12.88 1,497.46 0.56 5 20,761,905 2.62
8. title title Verb 6 2.44 13.03 1,385.85 0.15 2 42,889,654 1.27
9. champion champion Verb 6 2.44 13.47 1,883.68 0.38 3 29,100,617 1.87
10. jump jump
JUMPING
jumps 		Verb 7 2.52 10.05 137.39 0.63 7 26,658,833 2.04
11. clear clear
cleared
clears 		Verb 8 2.7 10.47 161.67 0.57 6 15,759,096 3.45
12. win win
winning
wins
won 		Verb 12 3.03 10.15 72.49 0.68 10 9,965,421 5.45
13. overcome overcome
overcoming 		Verb 22 4.65 15.61 2,236.06 0.77 18 5,480,004 9.92
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